http://dx.doi.org/10.1109/TIP.2012.2227771">
 

Document Type

Journal Article

Department/Unit

Department of Computer Science

Title

Low-resolution face tracker robust to illumination variations

Language

English

Abstract

In many practical video surveillance applications, the faces acquired by outdoor cameras are of low resolution and are affected by uncontrolled illumination. Although significant efforts have been made to facilitate face tracking or illumination normalization in unconstrained videos, the approaches developed may not be effective in video surveillance applications. This is because: 1) a low-resolution face contains limited information, and 2) major changes in illumination on a small region of the face make the tracking ineffective. To overcome this problem, this paper proposes to perform tracking in an illumination-insensitive feature space, called the gradient logarithm field (GLF) feature space. The GLF feature mainly depends on the intrinsic characteristics of a face and is only marginally affected by the lighting source. In addition, the GLF feature is a global feature and does not depend on a specific face model, and thus is effective in tracking low-resolution faces. Experimental results show that the proposed GLF-based tracker works well under significant illumination changes and outperforms many state-of-the-art tracking algorithms.

Publication Date

2013

Source Publication Title

IEEE Transactions on Image Processing

Volume

22

Issue

5

Start Page

1726

End Page

1739

Publisher

Institute of Electrical and Electronics Engineers

ISSN (print)

10577149

ISSN (electronic)

19410042

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